Walrus 🦭/acc (@WalrusProtocol) / X

Walrus 🦭/acc

4,194 posts

Walrus 🦭/acc

@WalrusProtocol

The Verifiable Data Platform for AI & onchain finance. Walrus makes every byte provable, programmable, & always available. Built by the team behind @SuiNetwork.

Sui

linktr.ee/walrusprotocol

Joined June 2024

Pinned
Walrus 🦭/acc
@WalrusProtocol
13h
Walrus Sessions 5 is live: the Walrus Memory Prompt Jam. Most AI agents forget everything the moment a session ends. Walrus Memory fixes that, but only if the agent knows what's worth remembering and when to write it. Write one prompt that makes it genuinely useful. $2,000 WAL
13K
Walrus 🦭/acc
@WalrusProtocol
9h
in an era of bots and agents, prove you're real. reply with the most human thing you can think of. 👀
6.7K
Walrus 🦭/acc
@WalrusProtocol
11h
Scale past one agent and most teams hit the same three memory problems. → Context disappears when a session ends → Agents overwrite each other's state → No audit trail when something breaks Walrus Memory was built for all three. 🦭
7.1K
Walrus 🦭/acc
@WalrusProtocol
13h
Replying to @WalrusProtocol
🔥 $2,000 WAL across several tracks: → 5 × $200 Team Choice, beginner and advanced judged separately → $300 bug & improvement bounty (GitHub issues) → $200 special prize, panel discretion → 3 × $100 Community Choice, voted by the community → 8 × $25 raffle for voters
716
Walrus 🦭/acc
@WalrusProtocol
13h
Open through July 13. Full rules and submission on DeepSurge ↓ deepsurge.xyz/hackathons/77d… Walrus Form: walform.wal.app/f?formId=0x308… Post your prompt and demo with #WalrusMemory tagging @WalrusProtocol too.
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Walrus 🦭/acc
@WalrusProtocol
Jun 28
Sui Basecamp is in Singapore this year, October 7-8 at Marina Bay Sands, with @token2049. 🇸🇬 We're building portable memory for agents on Sui. Come find us there. 👇
Sui
@SuiNetwork
Jun 26
Sui Basecamp is back. October 7-8. Marina Bay Sands, Singapore 🇸🇬 with @token2049. The next $5 trillion in transactions won’t be human. The agentic future will be built on Sui. Build with us.
00:00
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Walrus 🦭/acc
@WalrusProtocol
Jun 26
Exactly. Fewer people, more agents. 🙏🦭
a16z
@a16z
Jun 26
AI native startups run lean Charts of the Week: a16z.news/p/charts-of-th…
12K
Walrus 🦭/acc
@WalrusProtocol
Jun 26
Memory usually gets locked to whatever model you started with. Switch providers and it stays behind. Walrus Memory runs everywhere you already build: @AnthropicAI Claude, @OpenAI ChatGPT, and @Google Gemini, with native MCP support and SDKs for Python, TypeScript, and
13K
Walrus 🦭/acc
@WalrusProtocol
Jun 25
The move from chat to delegation changes what agents need. The longer agents work, the more they need memory that persists across sessions, workflows, and models. That's the problem Walrus Memory is built to solve. 🦭
Ronnie Chatterji
@RonnieChatterji
Jun 25
The biggest shift in AI for work may be the move from chat to delegation. In a new paper, we study how Codex usage evolved over the past year - especially within @OpenAI - as agentic tools became more capable. We saw an expansion of users and usage in this time.
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Walrus 🦭/acc
@WalrusProtocol
Jun 25
Portable Memory Layer for AI Agents | Walrus Memory
From walrus.xyz
1.2K
Walrus 🦭/acc
@WalrusProtocol
Jun 25
Agents are spreading through every department fast, and the more of them you have, the more they need a shared memory to work together.
Greg Brockman
@gdb
Jun 25
Agents are being adopted very quickly and accelerating work. How this looks across OpenAI itself:
9.7K
Walrus 🦭/acc
@WalrusProtocol
Jun 24
One person running 40 agents is the new normal. But can their agents share what they know and build on eachother’s work? Walrus Memory provides them with one source of truth, making them production-ready and more efficient.
Movez
@0xMovez
Jun 24
Ex-Google AI engineer: "We will be running hundreds of agents working for us in the near future. I'm running 40 agents in parallel. I have built a $50,000 marketing team for just $500 using AI." in 15-minute masterclass, ex-Google engineer reveals how to build a pro agentic
00:00
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Walrus 🦭/acc
@WalrusProtocol
Jun 24
GM to the humans, and GM to the agents reading this for them, you're doing great.
11K
Walrus 🦭/acc
@WalrusProtocol
Jun 23
Many AI teams treat memory and context as the same thing. They aren't. Context is what the model sees right now. Memory is what survives after the session ends. That distinction doesn't matter in a demo. It matters when an agent needs to pick up where it left off. That's where
Portable Memory Layer for AI Agents | Walrus Memory
From walrus.xyz
10K
Walrus 🦭/acc
@WalrusProtocol
Jun 23
Switch models. Keep the memory. Walrus Memory moves with your agents across runtimes, so changing providers doesn't reset what they know.
12K